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Senior Data Engineer

1 month, 1 week ago
United States
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark AWS Cassandra CI/CD ClickHouse Dagster Druid DynamoDB Flink Go Java Kafka Machine Learning Microservices MySQL PostgreSQL Python Redis Scala SQL
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Zeta Global

Zeta Global

Zeta Global provides an AI-powered marketing cloud that enables enterprises to acquire, grow, and retain customers through precision marketing, leveraging data science, advanced analytics, and machine learning to create optimized customer experiences.

Media
1K-5K
Founded 2007
View All Jobs 72

Description

  • Design, build, and operate batch and streaming data pipelines for large-scale event data.
  • Ingest, transform, and enrich data such as impressions, clicks, conversions, costs, and identity signals.
  • Create and maintain curated aggregates, marts, and dimensional models for multiple internal consumers.
  • Define schemas, data contracts, and versioning strategies to support stable downstream systems.
  • Implement validation, anomaly detection, backfills, and reconciliation to improve data quality and reliability.
  • Optimize compute and storage for scale, balancing latency, throughput, and cost.
  • Build repeatable orchestration workflows and CI/CD processes for data pipelines.
  • Instrument data systems with metrics, logs, lineage, and alerting for observability and incident response.
  • Apply security and governance controls, including least-privilege access and PII-aware handling.
  • Partner closely with backend, ML, and product teams to deliver trusted data products.

Requirements

  • 5+ years of experience building production data pipelines and data products in a high-scale environment.
  • Strong experience with SQL and data modeling, including dimensional modeling, star/snowflake schemas, and event modeling.
  • Hands-on experience with streaming systems such as Kafka or AWS Kinesis, including event-driven designs.
  • Proficiency in one or more data engineering languages: Python, Java, Scala, or Go.
  • Experience with distributed data processing tools such as Spark or Flink and performance tuning at scale.
  • Experience with AWS data services and cloud-native patterns such as S3, Glue/EMR, Athena, and Redshift.
  • Familiarity with lakehouse/table formats and large-scale storage patterns, including Parquet; Iceberg, Hudi, or Delta are a plus.
  • Experience with orchestration/workflow tools such as Airflow, Dagster, or Step Functions, plus CI/CD for data workloads.
  • Strong data quality and observability practices, including testing, monitoring, lineage, and SLA/SLO awareness.
  • Experience with SQL and NoSQL data stores such as Postgres, MySQL, DynamoDB, Cassandra, or Redis, and choosing the right store per use case.
  • Clear communicator and collaborator who can work with mixed audiences and translate needs into reliable data interfaces.
  • Preferred: AdTech or programmatic advertising domain knowledge, including DSP/SSP/exchange/RTB concepts and data flows.
  • Preferred: Experience building measurement pipelines for attribution, incrementality, lift, or experimentation analytics.
  • Preferred: Experience supporting ML feature stores, offline/online feature generation, or model training datasets.
  • Preferred: Experience with real-time analytics stores such as Druid, ClickHouse, or Pinot and high-cardinality aggregation strategies.
  • Preferred: Deep knowledge of data governance and privacy, including PII handling and consent-aware processing.
  • Preferred: Open-source contributions, publications, or conference speaking.
  • Preferred: BS/MS in Computer Science, Engineering, or equivalent practical experience.

Benefits

  • Unlimited PTO.
  • Excellent medical, dental, and vision coverage.
  • Employee equity.
  • Employee discounts.
  • Virtual wellness classes.
  • Pet insurance.
  • Salary range of $165,000 to $175,000 depending on location and experience.

Interested in this position?

Apply directly on the company website

Apply Now

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